ArticleScientific reports2022
An epidemiological model for mosquito host selection and temperature-dependent transmission of West Nile virus.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mechanistic models for West Nile virus transmission: a systematic review of features, aims and parametrization.Proceedings. Biological sciences · 2024Pooled it
- Early warning system of the seasonal west nile virus infection risk in humans in northern greece, 2020-2024.Scientific reports · 2025Article
- Modeling West Nile Virus transmission in birds and humans: Advantages of using a cellular automata approach.Infectious Disease Modelling · 2024Article
- Empirical dynamic modelling and enhanced causal analysis of short-length Culex abundance timeseries with vector correlation metrics.Scientific reports · 2024Article
- Monitoring the West Nile virus outbreaks in Italy using open access data.Scientific data · 2023Article
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Authors and funding
7 authors.
Funding
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Abstract
We extend a previously developed epidemiological model for West Nile virus (WNV) infection in humans in Greece, employing laboratory-confirmed WNV cases and mosquito-specific characteristics of transmission, such as host selection and temperature-dependent transmission of the virus. Host selection was defined by bird host selection and human host selection, the latter accounting only for the fraction of humans that develop symptoms after the virus is acquired. To model the role of temperature on virus transmission, we considered five temperature intervals (≤ 19.25 °C; > 19.25 and < 21.75 °C; ≥ 21.75 and < 24.25 °C; ≥ 24.25 and < 26.75 °C; and > 26.75 °C). The capacity of the new model to fit human cases and the week of first case occurrence was compared with the original model and showed improved performance. The model was also used to infer further quantities of interest, such as the force of infection for different temperatures as well as mosquito and bird abundances. Our results indicate that the inclusion of mosquito-specific characteristics in epidemiological models of mosquito-borne diseases leads to improved modelling capacity.
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